Machine Learning Engineer

Company: AdoTube
Company: AdoTube
Location: San Jose
Commitment: Full time
Posted on: 2023-10-28 18:48
Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Challenge The Adobe Document Cloud Data Science team is looking for Machine Learning Engineer who can apply AI/ML techniques and help us build solutions that will drive the success of our Document Cloud business. Partnering with the business units, you will be working on the development of various data science models that address challenging business problems including acquisition, engagement, conversion and retention. You will have the opportunity to exercise creativity in problem solving by delivering inventive new solutions within our data ecosystem. We invite you to join a team of hardworking engineers to elevate our customer experiences to the next level. What you’ll do Develop and implement scalable and efficient models on large-scale datasets to address various business problems through using sophisticated statistical modeling, machine learning techniques. Solve challenging Data Science problems such as online learning, reinforcement learning etc. when solving business problems in digital marketing. Gather, synthesize and interpret disparate quantitative information sources, develop meaningful insights and clearly disseminating to key partners Collaborate with product management and engineering groups to develop new products and features. Create a winning culture built on collaboration and shared accomplishments- have fun along the way! What you need to succeed Deep understanding of statistical modeling, machine learning, deep learning and analytics concepts A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages (Databricks experience preferred) Proficient in one or more programming languages such as Python Strong analytical and quantitative problem solving ability. PhD or MS degree in Computer Science, Statistics, Applied Math, Electrical Engineering, Operations Research, or other related fields. Excellent communication, relationship skills, and a great teammate. Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $127,400 -- $238,700 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.  Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.
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